Investigation and development of maize fused network analysis with multi-omics

J Jiang, F Xing, C Wang, X Zeng, Q Zou - Plant physiology and …, 2019 - Elsevier
Maize is a critically important staple crop in the whole world, which has contributed to both
economic security and food in planting areas. The main target for researchers and breeding …

Investigating maize yield-related genes in multiple omics interaction network data

J Jiang, F Xing, X Zeng, Q Zou - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Zea mays (maize) is the highest yielding food crop globally, feeding large numbers of
people across the planet. It is thus especially important to explore the key genes that affect …

MCENet: a database for maize conditional co-expression network and network characterization collaborated with multi-dimensional omics levels

T Tian, Q You, H Yan, W Xu, Z Su - Journal of genetics and genomics, 2018 - Elsevier
Maize (Zea mays) is the most widely grown grain crop in the world, playing important roles in
agriculture and industry. However, the functions of maize genes remain largely unknown …

Integration of multi-omics technologies for crop improvement: status and prospects

R Zhang, C Zhang, C Yu, J Dong, J Hu - Frontiers in Bioinformatics, 2022 - frontiersin.org
With the rapid development of next-generation sequencing (NGS), multi-omics techniques
have been emerging as effective approaches for crop improvement. Here, we focus mainly …

SoyMD: a platform combining multi-omics data with various tools for soybean research and breeding

Z Yang, C Luo, X Pei, S Wang, Y Huang… - Nucleic Acids …, 2024 - academic.oup.com
Advanced multi-omics technologies offer much information that can uncover the regulatory
mechanisms from genotype to phenotype. In soybean, numerous multi-omics databases …

[PDF][PDF] SoyOmics: a deeply integrated database on soybean multi-omics

Y Liu, Y Zhang, X Liu, Y Shen, D Tian, X Yang, S Liu… - Molecular Plant, 2023 - cell.com
As one of the most important crops to supply the majority of plant oil and protein for the
whole world, soybean is facing an increasing global demand. The reference genome of …

Multi-omics assists genomic prediction of maize yield with machine learning approaches

C Wu, J Luo, Y Xiao - Molecular Breeding, 2024 - Springer
With the improvement of high-throughput technologies in recent years, large multi-
dimensional plant omics data have been produced, and big-data-driven yield prediction …

Maize network analysis revealed gene modules involved in development, nutrients utilization, metabolism, and stress response

S Ma, Z Ding, P Li - BMC plant biology, 2017 - Springer
Background The advent of big data in biology offers opportunities while poses challenges to
derive biological insights. For maize, a large amount of publicly available transcriptome …

[HTML][HTML] Multi-omics strategies to analyze complex agronomic traits in plants

L Chen, GF Tan - Frontiers in Plant Science, 2023 - frontiersin.org
Complex traits in plants are usually controlled by multiple genes, and the genetic analysis of
complex traits has always been a difficult problem in plant research. In the past decade, with …

Machine learning: its challenges and opportunities in plant system biology

M Hesami, M Alizadeh, AMP Jones… - Applied Microbiology and …, 2022 - Springer
Sequencing technologies are evolving at a rapid pace, enabling the generation of massive
amounts of data in multiple dimensions (eg, genomics, epigenomics, transcriptomic …